Hideyuki Takeshima

112 total papers · 3.6k total citations
72 papers, 2.5k citations indexed

About

Hideyuki Takeshima is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Hideyuki Takeshima has authored 72 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 11 papers in Pulmonary and Respiratory Medicine and 11 papers in Genetics. Recurrent topics in Hideyuki Takeshima's work include Epigenetics and DNA Methylation (38 papers), Cancer-related gene regulation (15 papers) and RNA modifications and cancer (11 papers). Hideyuki Takeshima is often cited by papers focused on Epigenetics and DNA Methylation (38 papers), Cancer-related gene regulation (15 papers) and RNA modifications and cancer (11 papers). Hideyuki Takeshima collaborates with scholars based in Japan, Germany and South Korea. Hideyuki Takeshima's co-authors include Toshikazu Ushijima, Isao Suetake, Shoji Tajima, Satoshi Yamashita, Tohru Niwa, Toshizumi Tanabe, Akira Tachibana, Kiyoshi Yamauchi, Naoko Hattori and Takayuki Ando and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Hideyuki Takeshima

69 papers receiving 2.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hideyuki Takeshima 1.6k 355 302 262 261 72 2.5k
Yasuo Sakai 2.0k 1.2× 144 0.4× 529 1.8× 248 0.9× 794 3.0× 131 3.8k
Paola Braghetta 2.7k 1.7× 264 0.7× 591 2.0× 279 1.1× 429 1.6× 74 3.9k
Natalia V. Botchkareva 1.3k 0.8× 340 1.0× 141 0.5× 71 0.3× 84 0.3× 62 3.8k
Michael Fazio 729 0.5× 230 0.6× 504 1.7× 104 0.4× 224 0.9× 44 1.9k
K. Miyazaki 1.3k 0.8× 400 1.1× 499 1.7× 221 0.8× 668 2.6× 94 4.2k
Lynne T. Smith 1.2k 0.7× 445 1.3× 891 3.0× 195 0.7× 370 1.4× 68 3.5k
Jaehyup Kim 669 0.4× 150 0.4× 168 0.6× 158 0.6× 432 1.7× 65 2.6k
Motomu Manabe 978 0.6× 143 0.4× 205 0.7× 447 1.7× 437 1.7× 109 3.7k
Hermelita Winter 1.8k 1.1× 138 0.4× 636 2.1× 62 0.2× 83 0.3× 74 4.1k
Giorgio Mori 1.7k 1.0× 279 0.8× 212 0.7× 145 0.6× 292 1.1× 90 3.8k

Countries citing papers authored by Hideyuki Takeshima

Since Specialization
Citations

This map shows the geographic impact of Hideyuki Takeshima's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hideyuki Takeshima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideyuki Takeshima more than expected).

Fields of papers citing papers by Hideyuki Takeshima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hideyuki Takeshima. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hideyuki Takeshima. The network helps show where Hideyuki Takeshima may publish in the future.

Co-authorship network of co-authors of Hideyuki Takeshima

This figure shows the co-authorship network connecting the top 25 collaborators of Hideyuki Takeshima. A scholar is included among the top collaborators of Hideyuki Takeshima based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hideyuki Takeshima. Hideyuki Takeshima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026